Development of the systematic object event data model for integrated point source pollution management

被引:1
|
作者
Huang, W. C. [1 ]
Liaw, S. L. [1 ]
Chang, S. Y. [2 ]
Liu, W. L. [3 ]
Chen, C. H. [4 ]
机构
[1] Natl Cent Univ, Grad Inst Environm Engn, Jhongli 320, Taoyuan County, Taiwan
[2] N Carolina Agr & Tech State Univ, Dept Civil & Environm Engn, Greensboro, NC 27411 USA
[3] Nanya Inst Technol, Dept Civil & Environm Engn, Jhongli 320, Taoyuan County, Taiwan
[4] Natl Taipei Univ Educ, Dept Social & Reg Dev, Taipei 106, Taiwan
关键词
Data model; Systematic data integration; Systematic object event approach; Systems thinking; ENVIRONMENTAL-MANAGEMENT; FRAMEWORK; THINKING;
D O I
10.1007/BF03326151
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Previous works on database integration focused mainly on the creation of transformation interfaces between incompatible databases built up by different departments of the Taiwan Environmental Protection Administration, ignoring the demands of systematically and flexibly integrated information for advanced pollution control of point sources. To provide a systematic framework for flexible integration of distributed data, this paper presents a general model as the systematic object event data model based on systems thinking, to improve the integration capability of databases. The conceptual database framework for integrated pollution control was proposed as a result of the application of the systematic object event data model. The fundamental part of the systematic object event data model, creation of the object registry database, was put into practice from the year 2008. The object database of pollution source is available to factories in 2009, which helps factories to create and Taiwan environmental protection administration to maintain the consistent object data through the electronic application processes of permits. To construct various event databases that systematically connect to object database would be the following step to more efficiently provide systematic information from systematic data integration.
引用
收藏
页码:411 / 426
页数:16
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